Bart Thijs
Impact in
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- scientometrics and bibliometrics research
Papers in
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- scientometrics and bibliometrics research 35
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- Web visibility and informetrics 14
- Web Data Mining and Analysis 4
- Co-authors
- Wolfgang Glänzel (64 shared papers)Koenraad Debackere (17 shared papers)András P. Schubert (10 shared papers)Jacqueline Leta (5 shared papers)Balázs Schlemmer (3 shared papers)Jian Wang (1 shared paper)Zhou Ping (2 shared papers)Arnold Verbeek (2 shared papers)
In The Last Decade
Bart Thijs
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 153
- Statistics, Probability and Uncertainty 1.3k
- Information Systems and Management 272
- Management of Technology and Innovation 282
- History and Philosophy of Science 125
- Information Systems 459
Countries citing papers authored by Bart Thijs
This map shows the geographic impact of Bart Thijs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bart Thijs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Thijs more than expected).
Fields of papers citing papers by Bart Thijs
This network shows the impact of papers produced by Bart Thijs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bart Thijs. The network helps show where Bart Thijs may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Thijs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 169 | |
| 2 | 2006 | 167 | |
| 3 | 2006 | 151 | |
| 4 | 2011 | 146 | |
| 5 | 2003 | 146 | |
| 6 | 2006 | 142 | |
| 7 | 2004 | 98 | |
| 8 | 2006 | 85 | |
| 9 | 2013 | 80 | |
| 10 | 2004 | 79 | |
| 11 | A bibliometric approach to the role of author self-citations in scientific communication | 2003 | 78 |
| 12 | 2008 | 75 | |
| 13 | 2011 | 73 | |
| 14 | 2008 | 71 | |
| 15 | 2006 | 68 | |
| 16 | 2017 | 56 | |
| 17 | 2015 | 44 | |
| 18 | 2006 | 43 | |
| 19 | 2019 | 39 | |
| 20 | 2008 | 38 |
About Bart Thijs
Bart Thijs is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management, Management of Technology and Innovation and Artificial Intelligence, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (35 papers), Web visibility and informetrics (14 papers), Advanced Text Analysis Techniques (8 papers), Biomedical Text Mining and Ontologies (7 papers), Science and Science Education (5 papers), Web Data Mining and Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Information Systems and Management (272 citations), Management of Technology and Innovation (282 citations), History and Philosophy of Science (125 citations) and Information Systems (459 citations). Bart Thijs has collaborated with scholars based in Belgium, Hungary and China. Frequent co-authors include Wolfgang Glänzel, Koenraad Debackere, András P. Schubert, Jacqueline Leta, Balázs Schlemmer, Jian Wang, Zhou Ping, Arnold Verbeek, Bart Van Looy and Julie Callaert. Their work appears in journals such as Scientometrics, Research Evaluation, Journal of Informetrics, Quantitative Science Studies and Journal of the American College of Cardiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.